mml

Class Continuous.Uniform.M

java.lang.Object

la.la.Value

mml.Model

mml.UPModel.M

mml.ByPdf.M

mml.Continuous.M

mml.Continuous.Bounded.M

mml.Continuous.Uniform.M

All Implemented Interfaces:

java.lang.Comparable<Value>, HasPdf

Enclosing class:

Continuous.Uniform

public class Continuous.Uniform.M
extends Continuous.Bounded.M

Continuous.Uniform.Mdl should be sufficient for many purposes. M, the class of fully- (trivially) parameterised Uniform continuous Model(s) on the range [lwb, upb].

Nested Class Summary

Nested classes/interfaces inherited from class mml.Continuous.M

Continuous.M.Transform

Nested classes/interfaces inherited from class mml.Model

Model.Defaults

Nested classes/interfaces inherited from class la.la.Value

Value.Atomic, Value.Bool, Value.Char, Value.Chars, Value.Cts, Value.Defer, Value.Discrete, Value.Enum, Value.Inc_Or, Value.Int, Value.Lambda, Value.List, Value.Maybe, Value.Option, Value.Real, Value.Scannable, Value.Structured, Value.Triv, Value.Tuple

Field Summary

Fields inherited from class mml.Model

msg1, msg2, sp

Fields inherited from class la.la.Value

C, comparator, CR, E, eight, ffalse, five, fiveR, four, fourR, half, negCR, negOne, negOneR, negTenR, nilVal, nine, None, one, oneR, PI, PIby2, point01, point1, point5, point9, quarter, seven, six, ten, tenR, three, threeR, triv, ttrue, two, twoR, zero, zeroR

Constructor Summary

Constructors

Constructor and Description
M(double msg1, double msg2, Value sp) requires msg1=0, sp=triv.

Method Summary

Modifier and Type	Method and Description
double	nlLH(Value ss) Return Continuous.Uniform.nlLH(ss).
double	nlPdf_x(double d) The negative log probability density of x; also see Continuous.M.nlPdf(la.la.Value).
double	random_x() Called by Continuous.M.random(); note, the generated Value.Cts is exact, its AoM=0.

Methods inherited from class mml.Continuous.Bounded.M

bounds, lwb_x, lwb, upb_x, upb

Methods inherited from class mml.Continuous.M

nlPdf, random_x, random, random, random, transform

Methods inherited from class mml.ByPdf.M

nlPr, nlPr, pdf

Methods inherited from class mml.UPModel.M

asGiven, asGiven, stats, stats, toString

Methods inherited from class mml.Model

asEstimator, asUPModel, m1m2sp, msg, msg1, msg1bits, msg2, msg2bits, msgBits, nl2LH, nl2Pr, pr, random, randomSeries, statParams, stats, stats, sumNlPr, transform, type, zeroTriv

Methods inherited from class la.la.Value

AoM, apply, bOp, compareTo, cons, cts, elt, errMsg, error, force, isTuple, just, main, n, nElts, nlAoM, pair, print, quad, real, RTE, triple, tuple, UOE, uOp, x

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

M

public M(double msg1,
         double msg2,
         Value sp)

requires msg1=0, sp=triv.

Method Detail

nlPdf_x

public double nlPdf_x(double d)

Description copied from class: Continuous.M

The negative log probability density of x; also see Continuous.M.nlPdf(la.la.Value).

Specified by:

nlPdf_x in class Continuous.M

nlLH

public double nlLH(Value ss)

Return Continuous.Uniform.nlLH(ss).

Specified by:

nlLH in class Model

random_x

public double random_x()

Called by Continuous.M.random(); note, the generated Value.Cts is exact, its AoM=0.

Overrides:

random_x in class Continuous.M